Lossy Strict Multilevel Successive Elimination Algorithm for Fast Motion Estimation

Yang SONG  Zhenyu LIU  Takeshi IKENAGA  Satoshi GOTO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E90-A   No.4   pp.764-770
Publication Date: 2007/04/01
Online ISSN: 1745-1337
DOI: 10.1093/ietfec/e90-a.4.764
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Selected Papers from the 19th Workshop on Circuits and Systems in Karuizawa)
Category: 
Keyword: 
motion estimation (ME),  successive elimination algorithm (SEA),  multilevel successive elimination algorithm (MSEA),  strict multilevel successive elimination algorithm (SMSEA),  

Full Text: PDF(500.5KB)>>
Buy this Article




Summary: 
This paper presents a simple and effective method to further reduce the search points in multilevel successive elimination algorithm (MSEA). Because the calculated sea values of those best matching search points are much smaller than the current minimum SAD, we can simply increase the calculated sea values to increase the elimination ratio without much affecting the coding quality. Compared with the original MSEA algorithm, the proposed strict MSEA algorithm (SMSEA) can provide average 6.52 times speedup. Compared with other lossy fast ME algorithms such as TSS and DS, the proposed SMSEA can maintain more stable image quality. In practice, the proposed technique can also be used in the fine granularity SEA (FGSEA) algorithm and the calculation process is almost the same.